Dias, M.A.; Marinho, G.C.; Negri, R.G.; Casaca, W.; Muñoz, I.B.; Eler, D.M.
A Machine Learning Strategy Based on Kittler’s Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. Remote Sens. 2022, 14, 2222.
https://doi.org/10.3390/rs14092222
AMA Style
Dias MA, Marinho GC, Negri RG, Casaca W, Muñoz IB, Eler DM.
A Machine Learning Strategy Based on Kittler’s Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. Remote Sensing. 2022; 14(9):2222.
https://doi.org/10.3390/rs14092222
Chicago/Turabian Style
Dias, MaurÃcio Araújo, Giovanna Carreira Marinho, Rogério Galante Negri, Wallace Casaca, Ignácio Bravo Muñoz, and Danilo Medeiros Eler.
2022. "A Machine Learning Strategy Based on Kittler’s Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments" Remote Sensing 14, no. 9: 2222.
https://doi.org/10.3390/rs14092222
APA Style
Dias, M. A., Marinho, G. C., Negri, R. G., Casaca, W., Muñoz, I. B., & Eler, D. M.
(2022). A Machine Learning Strategy Based on Kittler’s Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. Remote Sensing, 14(9), 2222.
https://doi.org/10.3390/rs14092222